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Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students.

N. Alyüz, E. Okur, U. Genc, S. Aslan, C. Tanriover, and A. Esme. CoRR, (2019)

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Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States.S. Aslan, E. Okur, N. Alyüz, A. Esme, and R. Baker. MIS4TEL, volume 804 of Advances in Intelligent Systems and Computing, page 53-61. Springer, (2018)Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?N. Alyüz, E. Okur, E. Oktay, U. Genc, S. Aslan, S. Mete, D. Stanhill, B. Arnrich, and A. Esme. UMAP (Extended Proceedings), volume 1618 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Role of Socio-cultural Differences in Labeling Students' Affective States.E. Okur, S. Aslan, N. Alyüz, A. Esme, and R. Baker. AIED (1), volume 10947 of Lecture Notes in Computer Science, page 367-380. Springer, (2018)Learner Engagement Measurement and Classification in 1: 1 Learning.S. Aslan, Z. Cataltepe, I. Diner, O. Dundar, A. Esme, R. Ferens, G. Kamhi, E. Oktay, C. Soysal, and M. Yener. ICMLA, page 545-552. IEEE, (2014)The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students.E. Okur, S. Aslan, N. Alyüz, A. Esme, and R. Baker. CoRR, (2019)Conversational Intent Understanding for Passengers in Autonomous Vehicles.E. Okur, S. Kumar, S. Sahay, A. Esme, and L. Nachman. CoRR, (2019)Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances.E. Okur, S. Kumar, S. Sahay, A. Esme, and L. Nachman. CoRR, (2019)Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data.E. Okur, N. Alyüz, S. Aslan, U. Genc, C. Tanriover, and A. Esme. CoRR, (2019)Behavioral Engagement Detection of Students in the Wild.E. Okur, N. Alyüz, S. Aslan, U. Genc, C. Tanriover, and A. Esme. AIED, volume 10331 of Lecture Notes in Computer Science, page 250-261. Springer, (2017)Semi-supervised model personalization for improved detection of learner's emotional engagement.N. Alyüz, E. Okur, E. Oktay, U. Genc, S. Aslan, S. Mete, B. Arnrich, and A. Esme. ICMI, page 100-107. ACM, (2016)

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Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students.

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Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students.